Part-Time Machine Learning Engineer (Remote)

hire feed • United States

Remote

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AI Summary

We are seeking a Machine Learning Engineer to work on a part-time basis, involving hands-on work with production-grade ML codebases and model training pipelines. The ideal candidate is comfortable bridging research and engineering, working deeply with models, data, and infrastructure. Key requirements include strong proficiency in Python and experience with ML frameworks.

Key Highlights

Part-time Machine Learning Engineer role

Hands-on work with production-grade ML codebases

Collaboration with top AI researchers and engineers

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Key Responsibilities

Work with real-world ML codebases to support MLE Bench–style evaluation tasks

Build, run, and modify model training, evaluation, and inference pipelines

Prepare datasets, features, and metrics for ML benchmarking and validation

Debug, refactor, and improve production-like ML systems for correctness and performance

Evaluate model behavior, failure modes, and edge cases relevant to benchmark tasks

Technical Skills Required

Python Machine Learning ML frameworks (e.g., PyTorch, TensorFlow)

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Benefits & Perks

Competitive payout based on experience

Remote work opportunity

Job Description

Role: ML Engineer (Remote)
Location: Remote (Work from Anywhere)
Job Type: Part-Time
Payout: Competitive, based on experience

Role Overview:

We are hiring for one of our clients, seeking a MLE Bench – ML Engineers to work on a part-time basis. This role involves hands-on work with production-grade ML codebases, model training and evaluation pipelines, and deployment-oriented workflows to help assess and improve the capabilities of advanced AI systems. The ideal candidate is comfortable bridging research and engineering, working deeply with models, data, and infrastructure in realistic ML environments.

Key Responsibilities:

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